Results 81 to 90 of about 225,995 (267)
Arthritis Care &Research, EarlyView.Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Arthritis Care &Research, EarlyView.Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai +7 more
wiley +1 more source
An Improved K-means Clustering Algorithm Applicable to Massive High-dimensional Matrix Datasets
ITM Web of Conferences, 2017 Since K-means clustering algorithm is easy to implement and high efficient, it has been widely used in cluster analysis of massive datasets. The value of k is difficult to determine in advance and the randomness of choosing initial centers leads to a ...
Li Dong-Yuan, Cao Cai-Feng
doaj +1 more source
Hierarchical clustering of maximum parsimony reconciliations
BMC Bioinformatics, 2019 Background Maximum parsimony reconciliation in the duplication-transfer-loss model is a widely-used method for analyzing the evolutionary histories of pairs of entities such as hosts and parasites, symbiont species, and species and genes. While efficient
Ross Mawhorter, Ran Libeskind-Hadas
doaj +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Hierarchical clustering using the arithmetic-harmonic cut: complexity and experiments.
PLoS ONE, 2010 Clustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context.
Romeo Rizzi +3 more
doaj +1 more source
Hierarchical topological clustering
CoRRnot peer reviewed, reviewed version to appear in Soft ...
Ana Carpio, Gema Duro
openaire +2 more sources
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Journal on Interactive SystemsFairness in recommendation systems is a critical area of study, particularly when addressing group disparities based on sensitive attributes such as gender, age, activity levels, or user location.
Rafael Vargas Mesquita dos Santos +1 more
doaj +1 more source